DatologyAI
Solutions Engineer (AI/ML, Pre-Sales)
$230K–$300K
San Mateo HQ · Hybrid · Full-time · Posted Jan 9, 2026
- Experience
- 4+ years in software, ML platform, solutions, or customer engineering roles.
About the job
Supports strategic prospects in pre-sales by designing customer PoCs and evaluations that demonstrate how data curation affects model quality, training efficiency, and downstream performance.
What you'll do
- Lead end-to-end customer PoCs, including dataset analysis, training-plan design, and interpretation of results.
- Design model evaluation plans and deliver customer-ready reports with metrics, baselines, ablations, and recommendations.
- Communicate technical results to customer teams and executives, and collaborate with GTM, Engineering, and Research.
What they ask for
- 4+ years of experience in software, ML platform, solutions, or customer engineering roles, including significant technical pre-sales and PoC experience.
- Practical expertise in ML model training across pre-training, mid-training, and post-training.
- Ability to design, run, interpret, and present model evaluations for base and post-trained models.
- Strong programming skills in Python (or equivalent); experience with data processing/distributed systems and familiarity with modern ML infrastructure, cloud platforms, and containerization.
Pay
$230,000 to $300,000 USD total pay (OTE)
Tools
Python, Spark, Ray, PyTorch, Hugging Face, AWS, GCP, Azure
AI focus
Helps customers assess and improve data curation for LLM/VLM training across pre-training, mid-training, and post-training, using model evaluations to measure quality, efficiency, and downstream performance.
Model-written summary · the original posting is authoritative